Prediction of risks of sequence of events using multistage proportional hazards model: a marginal-conditional modelling approach

Statistical Methods & Applications - In many studies, sequence of events may occur over time that produce repeated measures with censored observations. Multi-state models are commonly used, and...     

Multiple linear regression model with stochastic design variables

In a simple multiple linear regression model, the design variables have traditionally been assumed to be non-stochastic. In numerous real-life situations, however, they are stochastic and non-normal. Estimators of parameters applicable to such situations are developed. It is shown that these estimators are efficient and robust. A real-life example is given.     

The substitutability of labor between immigrants and natives in the Canadian labor market: circa 1995

This paper examines the substitutability or complementarity between Canadian-born and immigrant workers. These are examined by estimating a set of wage equations using a generalized Leontief production function. The paper finds that, in general, there is no displacement of Canadian-born workers by immigrants. Recent immigrants affect the native-born positively, while older immigrants are neither substitute nor complement for natives. However, the effects differ across industries. Overall, the evidence that immigrants harm the opportunities of native-born workers is scant.

Multidimensional Human Opportunity Index

One fact that emerges from the evaluation of the Millennium Development Goals is that not all countries met all the goals and there are significant complementaries among failing on specific goals. This paper proposes the Multidimensional Human Opportunity Index (MHOI) that focuses on the complementaries among access to multiple services. We focus on access to services for children, with the aim of capturing equality in opportunity for children from diverse socio-economic backgrounds. This index builds on the Human Opportunity Index of the World Bank that measures children’s access to a basic service, such as access to clean water. However, the MHOI differs from the parent index in that we measure joint access to multiple services or access to a bundle of services. We apply the MHOI on two Himalayan states of South Asia, Nepal and Bhutan, and show that although each basic service is available to a large proportion of the population, only two-thirds in Bhutan and one half in Nepal have access to the bundle of basic services in 2011–2012.     

Estimation and hypothesis testing in multivariate linear regression models under non normality

This paper discusses the problem of statistical inference in multivariate linear regression models when the errors involved are non normally distributed. We consider multivariate t-distribution, a fat-tailed distribution, for the errors as alternative to normal distribution. Such non normality is commonly observed in working with many data sets, e.g., financial data that are usually having excess kurtosis. This distribution has a number of applications in many other areas of research as well. We use modified maximum likelihood estimation method that provides the estimator, called modified maximum likelihood estimator (MMLE), in closed form. These estimators are shown to be unbiased, efficient, and robust as compared to the widely used least square estimators (LSEs). Also, the tests based upon MMLEs are found to be more powerful than the similar tests based upon LSEs.     

Household empowerment as the key to eradicate poverty incidence

The current study aimed to investigate how the household empowerment can potentially reduce the rural poverty incidence. The data were collected through multistage random sampling from the rural households of 24 villages in Southern Punjab, Pakistan. A total of 600 households were selected as sample pool. Face‐to‐face interviews with the household heads were conducted. The household empowerment was measured through an index that was adopted from Abrar‐ul‐haq (“An assessment of the role of household empowerment in alleviating poverty in Southern Punjab, Pakistan” (Ph.D. Dissertation), School of Economics, Finance and Banking, Universiti Utara Malaysia, 2017). The binary logit model was used to analyze the impact of household empowerment with other control variables on poverty incidence. The results of the current study confirm the negative nexus between household empowerment and poverty incidence of rural households as the study reported that the probabilities (odds ratio: 0.877) of being poor are reduced by increasing the empowerment (in every aspect, economically, politically, and socially) of the households, and the results are statistically significant at the 1% level of significance. Based on empirical results, this study suggests that household empowerment has significant potential to reduce poverty incidence in the rural areas of Southern Punjab, Pakistan.     

A guide to the design and analysis of small clinical studies

Clinical studies, which have a small number of patients, are conducted by pharmaceutical companies and research institutions. Examples of constraints that lead to a small clinical study include a single investigative site with a highly specialized expertise or equipment, rare diseases, and limited time and budget. We consider the following topics, which we believe will be helpful for the investigator and statistician working together on the design and analysis of small clinical studies: definitions of various types of small studies (exploratory, pilot, proof of concept); bias and ways to mitigate the bias; commonly used study designs for randomized and nonrandomized studies, and some less commonly used designs; potential ethical issues associated with small underpowered clinical studies; sample size for small studies; statistical analysis methods for different types of variables and multiplicity issues. We conclude the paper with recommendations made by an Institute of Medicine committee, which was asked to assess the current methodologies and appropriate situations for conducting small clinical studies.     

Demographic transition and the emerging windows of opportunities and challenges in Bangladesh

The aim of this paper is to examine the demographic transition and the emerging window of opportunities and challenges in Bangladesh. The study utilizes time series data from national level population surveys, censuses and the population projections and estimates produced by the United Nations Population Division. The ongoing demographic transition in Bangladesh leads to many changes in the size and age structure of the rapidly growing population of the country, giving rise to economic and social opportunities as well as policy challenges. The window of opportunity that has emerged since the 1990s will not last long and will not be repeated in the near future. It will reach its peak during the 2020s and will remain open until the 2030s. This demographic dividend needs to be managed efficiently in order to be transformed into better and sustainable economic growth. Understanding demographic challenges must therefore be a priority for the Government of Bangladesh, which must formulate policies to harvest the benefits of the demographic opportunities.     

Social behavior practices for child protection and well-being among low-income urban households in Bangladesh

The main objective of this study was to explore the status of social behavior practices for child protection and well-being among low-income urban households in Bangladesh. This study used a survey method, and data were collected through a face-to-face structured interview from 378 low-income household heads from 12 wards (Konabari and Kashimpur) of Zone 5 of the Gazipur City Corporation. Results found that the current status of the presence of child protection services is very low (in many cases, this number is zero except children having birth registered). A significant number (55%) of them were married between 15 and 19 years. The study found a low level of access on the components of social behaviors where around 50% to 60% caregivers stated 4 benefits of key behaviors, necessity of hand washing after defecation and before and after taking a meal, the age of boys and girls to get married off, and know the effect and consequences of child marriage. The chi-squared tests confirmed extremely high significance in almost all of the components. Findings will be an important guideline for the policymakers, child service practitioners, and human rights workers.